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Design and implement Salesforce ↔ QAS integration architecture
Build and optimize data pipelines supporting AI inference and feedback loops
Develop backend services / APIs enabling response suggestion workflows
Integrate LLM capabilities (Amazon Bedrock) for response generation and embeddings
Enable continuous model tuning via: telemetry data
quality scoring
usage analytics Work with structured and unstructured data sources: Microsoft Graph (SharePoint / Teams) Implement asynchronous processing pipelines (SQS, EventBridge)
Ensure data reliability, scalability, and performance
Contribute to: design documentation
runbooks
technical decision-making Support: SIT/UAT phases
production readiness
hypercare and rollout to additional entities ...
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